Chuan Shi

3.8k citations
113 papers · 2.5k · h-index 27

Impact in

Papers in

Chuan Shi

105 papers receiving 2.5k citations

Peers

Chuan Shi
Comparison fields: 5 of 147
  • Biological Psychiatry 98
  • Psychiatry and Mental health 497
  • Virology 132
  • Critical Care and Intensive Care Medicine 96
  • Neurology 269
Replace Amit Shah with:
Amit Shah United States
Christopher Clark Australia
Jennifer Jones United States
Hung‐Wen Yeh United States
Yun Li China
Gina D’Angelo United States
L. Chang United States
Colin P. Doherty Ireland
Samuel S. Wu United States
Douglas J. Lanska United States
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Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Chuan Shi

Since Specialization
Citations

This map shows the geographic impact of Chuan Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chuan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan Shi more than expected).

Fields of papers citing papers by Chuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chuan Shi. The network helps show where Chuan Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Chuan Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chuan Shi Line = papers co-authored together Chuan Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020303
2 2015241
3 202384
4 201476
5 201373
6 202473
7 201372
8 201970
9
[Clinical study on the efficacy of tranexamic acid in reducing postpartum blood lose: a randomized, comparative, multicenter trial].
200169
10 200857
11 201354
12 200750
13 201648
14 201047
15 202345
16 201745
17 201042
18 200739
19 201238
20 201737

About Chuan Shi

Chuan Shi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Artificial Intelligence, Experimental and Cognitive Psychology and Clinical Psychology, having authored 113 papers that have together received 2.5k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (25 papers), Functional Brain Connectivity Studies (10 papers), Mental Health and Psychiatry (7 papers), Treatment of Major Depression (6 papers), HIV Research and Treatment (6 papers), Advancements in Battery Materials (5 papers), Psychosomatic Disorders and Their Treatments (5 papers) and Advanced Battery Materials and Technologies (5 papers). The work is most often cited by research in Biological Psychiatry (98 citations), Psychiatry and Mental health (497 citations), Virology (132 citations), Critical Care and Intensive Care Medicine (96 citations) and Neurology (269 citations). Chuan Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Yu, Shaohua Hu, Hailong Lyu, Jingkai Chen, Philip S. Yu, Hetong Zhou, Dandan Wang, Ning Wei, Shaojia Lu and Shuqiao Yao. Their work appears in journals such as Psychiatry Research, Schizophrenia Research, Frontiers in Psychiatry, Journal of Affective Disorders and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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